Threejs Visual Systems logo

Threejs Visual Systems

Organization
mintdotgg
threejs-visual-systems

Build and upgrade Three.js visual systems for apps and games using Mint MCP assets, authored geometry, materials, lighting, shaders, VFX, technical art, and measured performance.

Overview

Publishermintdotgg
Repositorymint-threejs-skills
Skill namethreejs-visual-systems
Stars
125
Forks
11
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mintdotgg on GitHub. Read the source before you install it.

Installation

Install the Threejs Visual Systems AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mintdotgg/mint-threejs-skills/tree/main/skills/mint-threejs-skills/skills/threejs-visual-systems
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mintdotgg/mint-threejs-skills.git /tmp/mint-threejs-skills
mkdir -p .claude/skills
cp -r /tmp/mint-threejs-skills/skills/mint-threejs-skills/skills/threejs-visual-systems .claude/skills/threejs-visual-systems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Threejs Visual Systems in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Threejs Visual Systems on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Threejs Visual Systems is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Three.js Visual Systems

Create coherent, readable, performance-aware 3D presentation for general apps and games.

Read By Need

  • Broad visual architecture: references/implementation-blueprint.md.
  • Authored models, silhouettes, variants, props, or environment kits: references/model-recipes.md.
  • Renderer, camera composition, lighting, shadows, fog, materials, or VFX: references/render-recipes.md.
  • Custom shaders, material injection, skies, or post-processing: references/shader-cookbook.md.
  • Imported assets, LOD/instancing, budgets, or mobile tradeoffs: references/technical-art.md.
  • Any high-quality completion claim: references/quality-gates.md.
  • Premium game claims only: references/game-visual-scorecard.md.
  • Generated assets or derivatives: ../../references/mint-mcp-assets.md.

Workflow

  1. Capture active screenshots and identify the primary subject, supporting content, interaction affordances, and weakest visible surfaces.
  2. Define the shot: intended mood, subject scale, lens/FOV, screen occupancy, horizon, design viewing distance, motion, and render budget.
  3. Improve the image in order: framing and silhouette, scale and depth, material identity, lighting hierarchy, atmosphere, then post-processing and VFX. Do not use a later layer to repair an unreadable earlier layer.
  4. Plan Mint MCP outputs and procedural systems. Store ordinary artifacts at stable project paths and record them in the project-root mint-assets.json through ../../references/asset-pipeline.md; record and stream world RAD manifests through ../../references/mint-world-splats.md.
  5. Build authored forms, reusable factories, shared materials, detail systems, and simple interaction or collision proxies.
  6. Add lighting, shadows, fog, post-processing, and VFX only after the forms and state changes read clearly.
  7. Inspect the scene with post disabled and expose useful effect, mask, or pass views while tuning complex systems.
  8. Measure the worst-case active state and verify desktop/mobile composition.
  9. Apply the general quality gate; games additionally use the game scorecard.

Rules

  • Mint MCP is the only generated-asset pipeline.
  • Primitives are valid construction tools, not a finished visual identity by default.
  • Glow, fog, darkness, and bloom cannot substitute for form, composition, material craft, interaction clarity, or UI.
  • When asked to make a scene beautiful, diagnose the first weak layer in the visual order instead of adding effects indiscriminately.
  • Repeated geometry should share resources or use instancing where practical.
  • Effects must preserve the primary subject and interaction affordances.
  • Presentation transforms must not corrupt canonical imported asset transforms.

Final Response

Report visual changes, Mint links and integrated paths, screenshots, technical-art budget, renderer diagnostics, quality-gate result, interaction readability, and remaining blockers. Games also report the game scorecard.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Threejs Visual Systems AI skill do?

Build and upgrade Three.js visual systems for apps and games using Mint MCP assets, authored geometry, materials, lighting, shaders, VFX, technical art, and measured performance.

Why use Threejs Visual Systems on TypingMind?

Because you install it once and use it with any model. Threejs Visual Systems is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Threejs Visual Systems in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mintdotgg/mint-threejs-skills/tree/main/skills/mint-threejs-skills/skills/threejs-visual-systems. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Threejs Visual Systems?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Threejs Visual Systems?

As many as you like. As long as a model supports skills, you can use Threejs Visual Systems with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Threejs Visual Systems AI skill free?

Yes. It is published on GitHub by mintdotgg under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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